{"id":"W2903515102","doi":"10.1063/1.5061726","title":"Surface compressive and softening effect on deformation mode transition in Ni-Nb metallic glassy thin films: A molecular dynamics study","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Metallic Glasses and Amorphous Alloys","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Softening; Materials science; Deformation (meteorology); Composite material; Thin film; Modulus; Molecular dynamics; Transition metal; Ultimate tensile strength; Glass transition; Elastic modulus; Condensed matter physics; Nanotechnology; Chemistry; Computational chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002679063,0.0001789231,0.0003461024,0.00005959672,0.00004450648,0.00004794509,0.0001003408,0.00005330811,0.000003351637],"category_scores_gemma":[0.000003982593,0.0001521236,0.00006353836,0.0001552109,0.00002464723,0.0001691478,0.00001385144,0.0003048784,0.000004451347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008761098,"about_ca_system_score_gemma":0.00001528796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150064,"about_ca_topic_score_gemma":0.00001437836,"domain_scores_codex":[0.9990773,0.00003838013,0.0003431159,0.0001023318,0.0002744041,0.0001645322],"domain_scores_gemma":[0.9995745,0.00005791142,0.0001493794,0.0001111622,0.00005005096,0.00005694308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001200028,0.0001144299,0.00004299581,0.00006066034,0.000142242,0.00001642286,0.00268981,0.9397261,0.05508537,0.0008629586,0.00001532684,0.001123745],"study_design_scores_gemma":[0.001446264,0.0006111097,0.0003339843,0.00007738209,0.0001000495,0.00001167525,0.000524235,0.9779853,0.01696936,0.001754579,0.000009833827,0.0001762235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727407,0.00003205984,0.0263238,0.000005608706,0.0001074435,0.0002631626,0.000004603731,0.00002389921,0.0004987545],"genre_scores_gemma":[0.9982616,0.00001078388,0.001578638,0.00003266242,0.00007464256,0.000004633951,0.000006088631,0.00002927669,0.000001640989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03825927,"threshold_uncertainty_score":0.6203418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006029426655668793,"score_gpt":0.2205039408864284,"score_spread":0.2144745142307596,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}